Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
IEEE

A Non-Greedy Algorithm for L1-Norm LDA

Abstract: Recently, L1-norm-based discriminant subspace learning has attracted much more attention in dimensionality reduction and machine learning. However, most existing approaches solve the column ...
GitHub

Machine Learning Techniques for Text

Learn how to acquire and process textual data and visualize the key findings Obtain deeper insight into the most commonly used algorithms and techniques and understand their tradeoffs Implement models ...
Scientific Research Publishing

Predictive Analytics for Project Risk Management Using Machine Learning ()

1 Pharmavite LLC, Los Angeles, CA, USA. 2 Microsoft, Charlotte, NC, USA. 3 AXS Group LLC, Los Angeles, CA, USA. 4 TCS, Indianapolis, IN, USA. Risk management is relevant for every project that which ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
C&EN

Breaking the Barriers: Machine-Learning-Based c-RASAR Approach for Accurate Blood–Brain Barrier Permeability Prediction

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
GitHub

Using LDA, SVM, and Decision Trees to deal with MNIST data set

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...